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Featured researches published by Shishuang Sun.


Smart Materials and Structures | 2005

Crack detection of a full-scale reinforced concrete girder with a distributed cable sensor

Genda Chen; Shishuang Sun; David Pommerenke; James L. Drewniak; Gary G. Greene; Ryan D. McDaniel; Abdeldjelil Belarbi; Huimin Mu

A new concept of designing cable sensors for health monitoring of large-scale civil infrastructure has recently been proposed by the present authors. The concept was developed based on the change in topology of the outer conductor of a coaxial cable sensor. One such sensor was fabricated with its outer conductor tightly wrapped with a commercial tin-plated steel spiral that was covered with solder. It was mounted near the surface of a 15 m long reinforced concrete (RC) girder with a 762 mm square hollow cross section and 152 mm thick walls. The girder was tested under a progressively increasing cyclic torsion creating 45° inclined cracks around and along the girder. The main objectives of this study were to implement the distributed cable sensor technology in large-scale reinforced concrete structures, to understand the performance of a sensor under cyclic loading for detecting and locating cracks, and, finally, to address implementation issues such as signal loss, non-uniformity in sensor construction, and recoverability.


Proceedings of the Smart Structures and Materials Conference 2004 -- Sensors and Smarth Structures Techonologies for Civil, Mechanical, and Aerospace Systems (2004, San Diego, CA) | 2004

Signal loss, spatial resolution, and sensitivity of long coaxial crack sensors

Shishuang Sun; David Pommerenke; James L. Drewniak; Genda Chen

Configuration-based coaxial cable sensors have recently been developed to detect cracks in reinforced concrete (RC) structures. These sensors have shown a high sensitivity when applied to several short RC flexural members. However, the signal losses resulting from a long cable sensor may distort the initial waveform of the electromagnetic wave propagating along the cable, thereby compromising the spatial resolution and sensitivity of this sensor. The signal losses consist of the contributions from the skin effect of conductors, energy absorption in the dielectric material, and impedance mismatch loss due to multiple signal reflections resulting from discontinuities caused by the separation between the adjacent spirals, which acts as the outer conductor of a cable sensor. This paper summarizes the basic physics of signal losses in cable sensors, and investigates the impact of the signal losses on the spatial resolution and sensitivity of a cable sensor over distance. Several methods are proposed to simulate and quantify various factors affecting the signal losses.


Nondestructive Evaluation and Health Monitoring of Aerospace Materials, Composites, and Civil Infrastructure IV | 2005

Distributed cable sensors with memory feature for post-disaster damage assessment

Genda Chen; Ryan D. McDaniel; David Pommerenke; Shishuang Sun

A new design of distributed crack sensors is presented for the condition assessment of reinforced concrete (RC) structures during and immediately after an earthquake event. This study is mainly focused on the performance of cable sensors under dynamic loading, particularly their ability to memorize the crack history of an RC member. This unique memory feature enables the post-earthquake condition assessment of structural members such as RC columns, in which the earthquake-induced cracks are closed immediately after an earthquake event due to gravity loads and they are visually undetectable. Factors affecting the onset of the memory feature were investigated experimentally with small-scale RC beams under cyclic loading. Test results indicated that both crack width and the number of loading cycles were instrumental in the onset of the memory feature of cable sensors. Practical issues related to dynamic acquisition with the sensors were discussed. The sensors were proven to be fatigue resistant from the shake table tests of RC columns. They continued to show useful signal after the columns can no longer support additional loads.


Proceedings of DesignCon 2008 (2008, Santa Clara, CA) | 2004

Modeling FPGA Current Waveform and Spectrum and PDN Noise Estimation

Iliya Zamek; Peter Boyle; Zhe Li; Shishuang Sun; Xiaohe Chen; Tun Li; Daryl G. Beetner; James L. Drewniak; Sandeep K. R. Chandra


international symposium on electromagnetic compatibility | 2004

Anticipating EMI and on-board interference in automotive platforms

Shishuang Sun; Geping Liu; David Pommerenke; James L. Drewniak; Richard W. Kautz; Chingchi Chen


Smart Structures and Systems | 2005

Distributed crack sensors featuring unique memory capability for post-earthquake condition assessment of RC structures

Genda Chen; Ryan D. McDaniel; Shishuang Sun; David Pommerenke; James L. Drewniak


international symposium on electromagnetic compatibility | 2006

Characterizing package/PCB PDN interactions from a full-wave finite-difference formulation

Shishuang Sun; David Pommerenke; James L. Drewniak; Kai Xiao; Sin-Ting Chen; Tzong-Lin Wu


Proceedings of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure (2003, Tokyo, Japan) | 2003

Crack Detection of a 15 Meter Long Reinforced Concrete Girder with a Single Distributed Cable Sensor

Genda Chen; Shishuang Sun; X. L. Shen; David Pommerenke; Gary G. Greene; Abdeldjelil Belarbi; Huimin Mu


Proceedings of DesignCon 2011 | 2011

Vectorless Estimation of Power Consumption Variations in an FPGA

Liehui Ren; Daryl G. Beetner; Shishuang Sun; Peter Boyle; Matt Scheppers; Colin Stagner; Manish Deo; James L. Drewniak


international symposium on electromagnetic compatibility | 2006

Common-mode radiation resulting from handassembled cable bundles on automotive platforms

Shishuang Sun; James L. Drewniak; David Pommerenke

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David Pommerenke

Missouri University of Science and Technology

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James L. Drewniak

Missouri University of Science and Technology

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Genda Chen

Missouri University of Science and Technology

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Ryan D. McDaniel

Missouri University of Science and Technology

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Daryl G. Beetner

Missouri University of Science and Technology

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Gary G. Greene

Missouri University of Science and Technology

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Huimin Mu

Missouri University of Science and Technology

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Chingchi Chen

Missouri University of Science and Technology

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